Aerosol optical properties and direct radiative forcing based on measurements from the China Aerosol Remote Sensing Network (CARSNET) in eastern China

Abstract. Aerosol pollution in eastern China is an unfortunate consequence of the region's rapid economic and industrial growth. Here, sun photometer measurements from seven sites in the Yangtze River Delta (YRD) from 2011 to 2015 were used to characterize the climatology of aerosol microphysical and optical properties, calculate direct aerosol radiative forcing (DARF) and classify the aerosols based on size and absorption. Bimodal size distributions were found throughout the year, but larger volumes and effective radii of fine-mode particles occurred in June and September due to hygroscopic growth and/or cloud processing. Increases in the fine-mode particles in June and September caused AOD 440 nm >  1.00 at most sites, and annual mean AOD 440 nm values of 0.71–0.76 were found at the urban sites and 0.68 at the rural site. Unlike northern China, the AOD 440 nm was lower in July and August ( ∼  0.40–0.60) than in January and February (0.71–0.89) due to particle dispersion associated with subtropical anticyclones in summer. Low volumes and large bandwidths of both fine-mode and coarse-mode aerosol size distributions occurred in July and August because of biomass burning. Single-scattering albedos at 440 nm (SSA 440 nm) from 0.91 to 0.94 indicated particles with relatively strong to moderate absorption. Strongly absorbing particles from biomass burning with a significant SSA wavelength dependence were found in July and August at most sites, while coarse particles in March to May were mineral dust. Absorbing aerosols were distributed more or less homogeneously throughout the region with absorption aerosol optical depths at 440 nm ∼  0.04–0.06, but inter-site differences in the absorption Angstrom exponent indicate a degree of spatial heterogeneity in particle composition. The annual mean DARF was − 93  ±  44 to − 79  ±  39 W m −2 at the Earth's surface and ∼ − 40 W m −2 at the top of the atmosphere (for the solar zenith angle range of 50 to 80 ∘ ) under cloud-free conditions. The fine mode composed a major contribution of the absorbing particles in the classification scheme based on SSA, fine-mode fraction and extinction Angstrom exponent. This study contributes to our understanding of aerosols and regional climate/air quality, and the results will be useful for validating satellite retrievals and for improving climate models and remote sensing algorithms.

[1]  T. Ackerman,et al.  Absorption of visible radiation in atmosphere containing mixtures of absorbing and nonabsorbing particles. , 1981, Applied optics.

[2]  T. Eck,et al.  Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations , 2002 .

[3]  Tong Zhu,et al.  Enhanced haze pollution by black carbon in megacities in China , 2016 .

[4]  Xiaoxiong Xiong,et al.  Validation of MODIS aerosol optical depth product over China using CARSNET measurements , 2011 .

[5]  Dong-Qiang Liu,et al.  Diurnal aerosol variations do affect daily averaged radiative forcing under heavy aerosol loading observed in Hefei, China , 2015 .

[6]  Z. Qing,et al.  Aerosol Direct Radiative Forcing over Shandong Peninsula in East Asia from 2004 to 2011 , 2014 .

[7]  Z. Chuying,et al.  Spatial and temporal distribution of air pollutant emissions from open burning of crop residues in China , 2008 .

[8]  Zhengqiang Li,et al.  Observations of residual submicron fine aerosol particles related to cloud and fog processing during a major pollution event in Beijing , 2014 .

[9]  J. Jimenez,et al.  Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition , 2009 .

[10]  Hong Wang,et al.  Aerosol optical characteristics and their vertical distributions under enhanced haze pollution events: effect of the regional transport of different aerosol types over eastern China , 2017 .

[11]  D. Lack,et al.  Impact of brown and clear carbon on light absorption enhancement, single scatter albedo and absorption wavelength dependence of black carbon , 2010 .

[12]  Alexander Smirnov,et al.  Cloud-Screening and Quality Control Algorithms for the AERONET Database , 2000 .

[13]  Michael D. King,et al.  A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements , 2000 .

[14]  Steven Platnick,et al.  Fog‐ and cloud‐induced aerosol modification observed by the Aerosol Robotic Network (AERONET) , 2012 .

[15]  M. P. Utrillas,et al.  Comparison of AERONET and SKYRAD4.2 inversion products retrieved from a Cimel CE318 sunphotometer , 2011 .

[16]  J. Hansen,et al.  Global warming in the twenty-first century: an alternative scenario. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[17]  P. Buseck,et al.  Haze types in Beijing and the influence of agricultural biomass burning , 2010 .

[18]  T. L. Wolfe,et al.  An assessment of the impact of pollution on global cloud albedo , 1984 .

[19]  D. Lu,et al.  Aerosol properties and radiative forcing in Hunshan Dake desert, northern China , 2006 .

[20]  Xiangao Xia,et al.  Climatological aspects of aerosol optical properties in North China Plain based on ground and satellite remote-sensing data , 2013 .

[21]  J. Chow,et al.  Seasonal variations and sources of mass and chemical composition for PM10 aerosol in Hangzhou, China , 2009 .

[22]  Sun Yu-we Observation Study of Aerosol over Mid-Western North China Plain in Autumn(October) , 2013 .

[23]  E. Vermote,et al.  A synergetic approach for estimating the local direct aerosol forcing : Application to an urban zone during the Expérience sur site pour contraindre les Modèles de pollution et de transport d'Emission (ESCOMPTE) experiment , 2006 .

[24]  Fanghua Wu,et al.  Analysis of influential factors for the relationship between PM 2.5 and AOD in Beijing , 2017 .

[25]  Ramesh P. Singh,et al.  Optical Properties of Fine/Coarse Mode Aerosol Mixtures , 2010 .

[26]  Jean-François Léon,et al.  Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust , 2006 .

[27]  X. Xia,et al.  Aerosol properties over an urban site in central East China derived from ground sun-photometer measurements , 2017, Science China Earth Sciences.

[28]  M. Andreae,et al.  Uncertainty in Climate Change Caused by Aerosols , 1996, Science.

[29]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[30]  Gunnar Myhre,et al.  Consistency Between Satellite-Derived and Modeled Estimates of the Direct Aerosol Effect , 2009, Science.

[31]  Ke Ding,et al.  Effects of aerosol – radiation interaction on precipitation during biomass-burning season in East China , 2016 .

[32]  Y. Q. Wang,et al.  Atmospheric aerosol compositions in China: Spatial/temporal variability, chemical signature, regional haze distribution and comparisons with global aerosols , 2011 .

[33]  T. Eck,et al.  Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements , 2000 .

[34]  T. Eck,et al.  An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET , 2001 .

[35]  Yan Yin,et al.  Aerosol and monsoon climate interactions over Asia , 2016 .

[36]  Teruyuki Nakajima,et al.  Algorithms for radiative intensity calculations in moderately thick atmospheres using a truncation approximation , 1988 .

[37]  Ke Ding,et al.  Effects of aerosol-radiation interaction on precipitation during biomass-burning season in East China , 2016 .

[38]  Kan Huang,et al.  Mechanism of formation of the heaviest pollution episode ever recorded in the Yangtze River Delta, China , 2008 .

[39]  B. Albrecht Aerosols, Cloud Microphysics, and Fractional Cloudiness , 1989, Science.

[40]  Lunche Wang,et al.  Long-term observations of aerosol optical properties at Wuhan, an urban site in Central China , 2015 .

[41]  Xiangao Xia,et al.  Column-integrated aerosol optical and physical properties at a regional background atmosphere in North China Plain , 2014 .

[42]  P. Goloub,et al.  Instrument calibration and aerosol optical depth validation of the China Aerosol Remote Sensing Network , 2009 .

[43]  Junying Sun,et al.  Observations of relative humidity effects on aerosol light scattering in the Yangtze River Delta of China , 2015 .

[44]  L. Gomes,et al.  Aerosol optical properties and its radiative forcing over Yulin, China in 2001 and 2002 , 2009 .

[45]  Jane Liu,et al.  Optical properties and radiative forcing of urban aerosols in Nanjing, China , 2014 .

[46]  Yang Sun,et al.  Aerosol optical depth (AOD) and Angstrom exponent of aerosols observed by the Chinese Sun Hazemeter Network from August 2004 to September 2005 , 2007 .

[47]  T. Eck,et al.  Aerosol Properties Over the Indo-Gangetic Plain: A Mesoscale Perspective from the TIGERZ Experiment , 2011 .

[48]  Youfei Zheng,et al.  Aerosol optical depth measurements in eastern China and a new calibration method , 2010 .

[49]  A. Ding,et al.  Ozone and fine particle in the western Yangtze River Delta: an overview of 1 yr data at the SORPES station , 2013 .

[50]  A. Lacis,et al.  A description of the correlated k distribution method for modeling nongray gaseous absorption, thermal emission, and multiple scattering in vertically inhomogeneous atmospheres , 1991 .

[51]  Xiaoguang Xu,et al.  Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 1. Information content analysis , 2015 .

[52]  Xiangao Xia,et al.  Ground-based aerosol climatology of China: aerosol optical depths from the China Aerosol Remote Sensing Network (CARSNET) 2002–2013 , 2015 .

[53]  I. Jankowiak,et al.  PHOTONS/AERONET sunphotometer network overview: description, activities, results , 2007, Atmospheric and Ocean Optics.

[54]  Peng Wang,et al.  Aerosol optical properties of regional background atmosphere in Northeast China , 2010 .

[55]  Yong Han,et al.  Observed aerosol optical depth and angstrom exponent in urban area of Nanjing, China , 2015 .

[56]  Bin Zhao,et al.  Source, transport and impacts of a heavy dust event in the Yangtze River Delta, China, in 2011 , 2013 .

[57]  P. Dubuisson,et al.  High spectral resolution solar radiative transfer in absorbing and scattering media: Application to the satellite simulation , 1996 .

[58]  V. Freudenthaler,et al.  EARLINET: towards an advanced sustainable European aerosol lidar network , 2014 .

[59]  J. P. Díaz,et al.  Aerosol Radiative Forcing: AERONET-Based Estimates , 2012 .

[60]  J. Haywood,et al.  The effect of anthropogenic sulfate and soot aerosol on the clear sky planetary radiation budget , 1995 .

[61]  Xiangao Xia,et al.  Temporal variability of the visibility, particulate matter mass concentration and aerosol optical properties over an urban site in Northeast China , 2015 .

[62]  Barry J. Huebert,et al.  Attribution of aerosol light absorption to black carbon, brown carbon, and dust in China – interpretations of atmospheric measurements during EAST-AIRE , 2008 .

[63]  Brent N. Holben,et al.  Characteristics of aerosol types from AERONET sunphotometer measurements , 2010 .

[64]  G. Pandithurai,et al.  Inter‐annual variability of aerosols and its relationship with regional climate over Indian subcontinent , 2015 .

[65]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[66]  J. Coakley,et al.  Climate Forcing by Anthropogenic Aerosols , 1992, Science.

[67]  T. Eck,et al.  Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols , 1999 .

[68]  Assessment of In-situ Langley Calibration of CE-318 Sunphotometer at Mt. Waliguan Observatory, China , 2011 .

[69]  Tami C. Bond,et al.  Spectral absorption properties of atmospheric aerosols , 2007 .

[70]  Xiangao Xia,et al.  Aerosol optical properties based on ground measurements over the Chinese Yangtze Delta Region , 2010 .

[71]  A. Ding,et al.  Intense atmospheric pollution modifies weather: a case of mixed biomass burning with fossil fuel combustion pollution in eastern China , 2013 .

[72]  H. Che,et al.  Aerosol optical properties over urban and industrial region of Northeast China by using ground-based sun-photometer measurement , 2013 .

[73]  Alexander Smirnov,et al.  Columnar aerosol optical properties at AERONET sites in central eastern Asia and aerosol transport to the tropical mid‐Pacific , 2005 .

[74]  Jun Wang,et al.  Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 2. A new research algorithm and case demonstration , 2015 .

[75]  Xiangao Xia,et al.  Aerosol optical properties and radiative effects in the Yangtze Delta region of China , 2007, Journal of Geophysical Research.

[76]  Irina N. Sokolik,et al.  Incorporation of mineralogical composition into models of the radiative properties of mineral aerosol from UV to IR wavelengths , 1999 .

[77]  T. Eck,et al.  An analysis of AERONET aerosol absorption properties and classifications representative of aerosol source regions , 2012 .

[78]  Xiaoye Zhang,et al.  Characterization of submicron aerosols and effect on visibility during a severe haze-fog episode in Yangtze River Delta, China , 2015 .

[79]  M. Maki,et al.  Decadal climatological trends of aerosol optical parameters over three different environments in South Korea , 2013 .

[80]  Xiangao Xia,et al.  Ground-based remote sensing of aerosol climatology in China: Aerosol optical properties, direct radiative effect and its parameterization , 2016 .

[81]  Xiangao Xia,et al.  Aerosol optical properties under the condition of heavy haze over an urban site of Beijing, China , 2014, Environmental Science and Pollution Research.

[82]  Jing Li,et al.  Using single‐scattering albedo spectral curvature to characterize East Asian aerosol mixtures , 2015 .

[83]  LI Chengcai,et al.  Aerosol optical properties retrieved from Sun photometer measurements over Shanghai, China , 2012 .

[84]  K. Moorthy,et al.  Impact of Precipitation on Aerosol Spectral Optical Depth and Retrieved Size Distributions: A Case Study , 2004 .

[85]  G. Carmichael,et al.  Asian emissions in 2006 for the NASA INTEX-B mission , 2009 .

[86]  Oleg Dubovik,et al.  Validation of AERONET estimates of atmospheric solar fluxes and aerosol radiative forcing by ground‐based broadband measurements , 2008 .

[87]  K. Stamnes,et al.  Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media. , 1988, Applied optics.

[88]  Deng Tao Observation of aerosol optical depth over the Pearl River Delta , 2009 .

[89]  Renjian Zhang,et al.  Seasonal variation and difference of aerosol optical properties in columnar and surface atmospheres over Shanghai , 2015 .

[90]  Nicole Riemer,et al.  A conceptual framework for mixing structures in individual aerosol particles , 2016 .

[91]  The optical, physical properties and direct radiative forcing of urban columnar aerosols in Yangtze River Delta, China , 2017 .

[92]  Woogyung V. Kim,et al.  An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks , 2017 .

[93]  Mao Jietai,et al.  Study on the Distribution and Variation Trends of Atmospheric Aerosol Optical Depth over the Yangtze River Delta in China , 2007 .

[94]  O. Boucher,et al.  A satellite view of aerosols in the climate system , 2002, Nature.